The document discusses key data management requirements for Internet of Things (IoT) applications. It notes that IoT will generate massive amounts of structured and unstructured data from a large number of connected devices and sensors. This data must be managed in a way that allows for rich applications, a unified view of data, real-time operational insights, business agility, and continuous innovation. It argues that traditional relational databases may not be well-suited for IoT data management and that NoSQL databases can provide scalability, flexibility, analytics and a unified view of data from multiple sources.
IoT - Data Management Trends, Best Practices, & Use CasesCloudera, Inc.
With billions of new devices, IoT is transforming how businesses capitalize on data. Data driven organizations are using IoT as as a means to improve their customer experience, drive operational efficiencies, and enable new business models. However, without the right data management strategy and tools, investments in IoT can yield limited results.
Join Cloudera and 451 Research for a joint webinar to learn more about some of the data management best practices and how organizations are using advanced analytics and machine learning to enable IoT use cases.
IoT - Data Management Trends, Best Practices, & Use CasesCloudera, Inc.
With billions of new devices, IoT is transforming how businesses capitalize on data. Data driven organizations are using IoT as as a means to improve their customer experience, drive operational efficiencies, and enable new business models. However, without the right data management strategy and tools, investments in IoT can yield limited results.
Join Cloudera and 451 Research for a joint webinar to learn more about some of the data management best practices and how organizations are using advanced analytics and machine learning to enable IoT use cases.
NFC: ADVANTAGES, LIMITS AND FUTURE SCOPEIJCI JOURNAL
Near Field Communication (NFC) Technology represents short range (practically up to 4 cm) wireless communication offering safe yet simple and intuitive communication between electronic devices that we use on a daily basis. Users of devices having NFC application in it can simply touch their devices to other
similar elements having NFC application to communicate with them, making application and data usage easy and convenient. NFC can be called as the next generation of Radio Frequency Identification (RFID) as technically its working principal is based on RFID however from application point of view it is similar to Bluetooth in some ways since it allows communication between two active devices. NFC can be the future medium of contactless electronic payment as it inhibits eavesdropping on NFC - enabled transactions pertaining to its short range, however range can be extended by attackers using some range extension system. In this paper we briefly discussed the advantages, limits or challenges of NFC technology along with its applications which opens up exciting new usage scenarios for mobile devices.
Blockchain With IoT - Top Blockchain IoT Use Cases101 Blockchains
Blockchain with IoT is a perfect combination that can change the way we conduct businesses nowadays. Most of our present business models have low visibility, which leads to multiple issues like mismanagement, counterfeiting, high product costs, and many more. Due to these complications, many companies are not able to reach their full potential.
However, IoT Blockchain projects can offer a wide range of benefits and use cases for the IoT sector. For example, high data security, stronger data validation process, data anonymity for extra privacy, end-to-end visibility, identity for IoT devices, stronger cloud management, etc.
Other Blockchain IoT use cases include specific sectors such as supply chains, smart homes, pharmaceuticals, waste management, agriculture, sharing economy, and so on. Many blockchain IoT examples offer various forms of uses cases now for enterprise companies.
101 Blockchains offer a good array of supportive educational materials regarding this topic. If you are struggling with your IoT management, we recommend checking out our IoT fundamentals course, as this course is perfectly suited for your needs.
Learn more about the course from here ->
IoT Fundamentals Course
https://academy.101blockchains.com/courses/iot-fundamentals
Check out our certification courses from here ->
Certified Enterprise Blockchain Professional (CEBP) course
https://academy.101blockchains.com/courses/blockchain-expert-certification
Certified Enterprise Blockchain Architect (CEBA) course
https://academy.101blockchains.com/courses/certified-enterprise-blockchain-architect
Certified Blockchain Security Expert (CBSE) course
https://academy.101blockchains.com/courses/certified-blockchain-security-expert
Check out our full guide on this topic from here ->
https://101blockchains.com/blockchain-iot-use-cases/
This presentation helps high school students to get a firm basic understanding of the Internet of Things (IoT). Igniting innovation is central to this presentation.
This talk was delivered to students at Visvesvaraya Industrial and Technological Museum (VITM), Bangalore on Sep 15th 2015, the Engineer’s Day in India. The event is organized by VITM and IEEE Bangalore Chapter.
It is very exciting indeed to release this document of some IoT case studies deployed in India. You will find in the following pages, there are several IoT use cases across industry verticals, addressing a variety of business needs. These are a select list and showcase a range of situations and benefits achieved. IoT is already impacting a wide range of businesses in India!
These use cases are grouped by the business need being addressed by them. Smart Manufacturing / Industry 4.0 section consists of use cases focused on improving factory operations; the Supply Chain segment has use cases related to improving efficiency of the entire value chain of any business and the Service Operations use cases impact the enterprises that provide customer services of any kind. Transportation & Logistics, Healthcare, Smart Governance & Smart Utilities have use cases that are unique to the industry they are deployed in.
We hope that the stories in this document excites you about the potential impact IoT can have on enterprises in India. However, the fact is that the opportunity of IoT is limitless and open to imagination. As dedicated IoT networks are rolled out and the ecosystem is strengthened, IoT is set to become an integral conversation in any organisation’s digital transformation journey.
IoT and WoT (Internet of Things and Web of Things)Jonathan Jeon
Talk on 1st WebAppsCamp. It's a short review between IoT and WoT. In this slide, I'd like to talk about why we need to think about Web of Thing in IoT era.
IOT is connecting every physical object in the world using wireless technologies to track and control them from every where in the world...Every object is uniquely identified using ip addresses(IPv6)
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Big Data Paris - A Modern Enterprise ArchitectureMongoDB
Depuis les années 1980, le volume de données produit et le risque lié à ces données ont littéralement explosé. 90% des données existantes aujourd’hui ont été créé ces 2 dernières années, dont 80% sont non structurées. Avec plus d’utilisateurs et le besoin de disponibilité permanent, les risques sont beaucoup plus élevés.
Quels sont les paramètres de bases de données qu’un décideur doit prendre en compte pour déployer ses applications innovantes?
NFC: ADVANTAGES, LIMITS AND FUTURE SCOPEIJCI JOURNAL
Near Field Communication (NFC) Technology represents short range (practically up to 4 cm) wireless communication offering safe yet simple and intuitive communication between electronic devices that we use on a daily basis. Users of devices having NFC application in it can simply touch their devices to other
similar elements having NFC application to communicate with them, making application and data usage easy and convenient. NFC can be called as the next generation of Radio Frequency Identification (RFID) as technically its working principal is based on RFID however from application point of view it is similar to Bluetooth in some ways since it allows communication between two active devices. NFC can be the future medium of contactless electronic payment as it inhibits eavesdropping on NFC - enabled transactions pertaining to its short range, however range can be extended by attackers using some range extension system. In this paper we briefly discussed the advantages, limits or challenges of NFC technology along with its applications which opens up exciting new usage scenarios for mobile devices.
Blockchain With IoT - Top Blockchain IoT Use Cases101 Blockchains
Blockchain with IoT is a perfect combination that can change the way we conduct businesses nowadays. Most of our present business models have low visibility, which leads to multiple issues like mismanagement, counterfeiting, high product costs, and many more. Due to these complications, many companies are not able to reach their full potential.
However, IoT Blockchain projects can offer a wide range of benefits and use cases for the IoT sector. For example, high data security, stronger data validation process, data anonymity for extra privacy, end-to-end visibility, identity for IoT devices, stronger cloud management, etc.
Other Blockchain IoT use cases include specific sectors such as supply chains, smart homes, pharmaceuticals, waste management, agriculture, sharing economy, and so on. Many blockchain IoT examples offer various forms of uses cases now for enterprise companies.
101 Blockchains offer a good array of supportive educational materials regarding this topic. If you are struggling with your IoT management, we recommend checking out our IoT fundamentals course, as this course is perfectly suited for your needs.
Learn more about the course from here ->
IoT Fundamentals Course
https://academy.101blockchains.com/courses/iot-fundamentals
Check out our certification courses from here ->
Certified Enterprise Blockchain Professional (CEBP) course
https://academy.101blockchains.com/courses/blockchain-expert-certification
Certified Enterprise Blockchain Architect (CEBA) course
https://academy.101blockchains.com/courses/certified-enterprise-blockchain-architect
Certified Blockchain Security Expert (CBSE) course
https://academy.101blockchains.com/courses/certified-blockchain-security-expert
Check out our full guide on this topic from here ->
https://101blockchains.com/blockchain-iot-use-cases/
This presentation helps high school students to get a firm basic understanding of the Internet of Things (IoT). Igniting innovation is central to this presentation.
This talk was delivered to students at Visvesvaraya Industrial and Technological Museum (VITM), Bangalore on Sep 15th 2015, the Engineer’s Day in India. The event is organized by VITM and IEEE Bangalore Chapter.
It is very exciting indeed to release this document of some IoT case studies deployed in India. You will find in the following pages, there are several IoT use cases across industry verticals, addressing a variety of business needs. These are a select list and showcase a range of situations and benefits achieved. IoT is already impacting a wide range of businesses in India!
These use cases are grouped by the business need being addressed by them. Smart Manufacturing / Industry 4.0 section consists of use cases focused on improving factory operations; the Supply Chain segment has use cases related to improving efficiency of the entire value chain of any business and the Service Operations use cases impact the enterprises that provide customer services of any kind. Transportation & Logistics, Healthcare, Smart Governance & Smart Utilities have use cases that are unique to the industry they are deployed in.
We hope that the stories in this document excites you about the potential impact IoT can have on enterprises in India. However, the fact is that the opportunity of IoT is limitless and open to imagination. As dedicated IoT networks are rolled out and the ecosystem is strengthened, IoT is set to become an integral conversation in any organisation’s digital transformation journey.
IoT and WoT (Internet of Things and Web of Things)Jonathan Jeon
Talk on 1st WebAppsCamp. It's a short review between IoT and WoT. In this slide, I'd like to talk about why we need to think about Web of Thing in IoT era.
IOT is connecting every physical object in the world using wireless technologies to track and control them from every where in the world...Every object is uniquely identified using ip addresses(IPv6)
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
Big Data Paris - A Modern Enterprise ArchitectureMongoDB
Depuis les années 1980, le volume de données produit et le risque lié à ces données ont littéralement explosé. 90% des données existantes aujourd’hui ont été créé ces 2 dernières années, dont 80% sont non structurées. Avec plus d’utilisateurs et le besoin de disponibilité permanent, les risques sont beaucoup plus élevés.
Quels sont les paramètres de bases de données qu’un décideur doit prendre en compte pour déployer ses applications innovantes?
Schnellere Digitalisierung mit einer cloudbasierten DatenstrategieMongoDB
Am 5. Juli zeigen wir Ihnen in Düsseldorf anhand unserer Best Practices für die Ausarbeitung und Optimierung einer cloudbasierten Datenstrategie, wie Sie die digitale Transformation in Ihrem Unternehmen beschleunigen können.
Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time.
Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics.
Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback.
The webinar will cover the following:
Generic IoT application blueprint
Case studies on IoT applications built on Apache Spark – connected car and industrial IoT
Demonstration of an easy, visual approach to building IoT Spark apps
Subscribed 2015: The Explosion of Smart Connected ThingsZuora, Inc.
Market experts and leading analyst firms predict that we’ll see the number of smart connected things grow from ~2B today to over 50B within the coming decade. The introduction of these new smart, connected things enable functional variability to shift from the physical design to the digital smarts that are being embedded in the “thing”. This explosion of smart, connected things provides both their creators and users (consumers and enterprises) with endless opportunities to continually monetize features, options, usage and data over the lifetime of the “thing’s” operation. Come to this session and see how PTC and Zuora are helping businesses capitalize on these important new revenue streams through a live demo.
¿Cómo las manufacturas están evolucionando hacia la Industria 4.0 con la virt...Denodo
Watch full webinar here: https://bit.ly/3cbpipB
Uno de los sectores en los que la transformación digital está teniendo un efecto más disruptivo es el de la fabricación. Líderes del sector manufacturero están apostando por el Big Data, la computación en la nube, la inteligencia artificial y el Internet de las Cosas (IoT) entre otras tecnologías, además de contemplar la llegada de la 5G, con el fin de:
- Automatizar los procesos de manera eficiente, para permitir una mayor producción en menor tiempo
- Crear valor añadido en los productos manufacturados
- Conectar la planta industrial con el punto de venta
- Impulsar el análisis en tiempo real de datos provenientes de diferentes cadenas de producción
Sin embargo, para alcanzar estos objetivos y llevar a cabo esta revolución tecnológica, también conocida como industria 4.0, las manufacturas tienen que enfrentarse a una serie de desafíos no negligentes. El sector industrial es el que genera más datos en el mundo, y en la era digital, la velocidad, la diversidad y el volumen exponencial de los datos pueden superar las arquitecturas de TI tradicionales. Además, la mayoría de los fabricantes se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Necesitan entonces una plataforma de TI fiable que permita integrar, centralizar y analizar datos de distintas fuentes y diferentes formatos de manera ágil y segura para poner la información al servicio del negocio.
Los expertos de Enki y Denodo te proponen este seminario online para descubrir qué es la virtualización de datos, y por qué líderes del sector apuestan por esta tecnología innovadora para optimizar su estrategia de TI y conseguir un ROI significativo gracias a un acceso más rápido, simple y unificado a los datos industriales.
Join our webinar to learn how BMC enables enterprise customers to transform their organization to a digital DevOps model. In this webinar, NICE InContact will share their story of transforming from a physical data center to a hybrid environment, including data center and cloud infrastructure. They'll talk about strategies, challenges, best practices, and navigating an acquisition. Learn how NICE InContact improved service management and capacity management as well as resolution time for incidents using BMC TrueSight and AWS DevOps solutions. Join us to learn from a peer in the enterprise space to help you plan your own IT infrastructure transformation.
Building a reliable and scalable IoT platform with MongoDB and HiveMQDominik Obermaier
Today’s Internet of Things (IoT) is enabling companies to blend together the physical and digital worlds, creating new business models and generating insights that increase productivity at once unimaginable levels. However, managing the ever growing volume of heterogeneous IoT data from disparate devices, systems and applications both on premise and in the cloud can be a challenging endeavour without a scalable and reliable IoT platform.
In this webinar, we will explore why and how companies are leveraging HiveMQ and MongoDB to build exactly that: a scalable and reliable IoT platform. Based upon a sample fleet management scenario, we will explain how telematics data can be routed via MQTT and efficiently stored to provide analytics and insights into the data.
Key Learnings
- Common challenges and pitfalls of IoT projects
- Required components for effectively handling data with an IoT platform
- HiveMQ for MQTT to enable bi-directional device communication over unstable networks
- MongoDB as the flexible and scalable modern data platform combining data from different sources and powering your applications
- Why MongoDB and HiveMQ is such a great combination
Microsoft cloud profitability scenariosMedhy Sandjak
La demande des clients pour les services sur le Cloud ne cesse de grandir.
Identifiez de nouvelles opportunités pour étendre votre rentabilité grâce à des exemples de modèles financiers et de scénarios dans le Cloud via Microsoft CSP.
Powering the Internet of Things with Apache HadoopCloudera, Inc.
Without the right data management strategy, investments in Internet of Things (IoT) can yield limited results. Apache Hadoop has emerged as a key architectural component that can help make sense of IoT data, enabling never before seen data products and solutions.
Unlocking Operational Intelligence from the Data LakeMongoDB
Hadoop-based data lakes are enabling enterprises and governments to efficiently capture and analyze unprecedented volumes of data. Join this webinar to learn how digital transformation is driving the rise of the data lake, the role Hadoop plays in generating new classes of analytics and insight, the critical capabilities you need to evaluate in an operational database for your data lake, and more.
MongoDB SoCal 2020: Migrate Anything* to MongoDB AtlasMongoDB
During this talk we'll navigate through a customer's journey as they migrate an existing MongoDB deployment to MongoDB Atlas. While the migration itself can be as simple as a few clicks, the prep/post effort requires due diligence to ensure a smooth transfer. We'll cover these steps in detail and provide best practices. In addition, we’ll provide an overview of what to consider when migrating other cloud data stores, traditional databases and MongoDB imitations to MongoDB Atlas.
MongoDB SoCal 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB SoCal 2020: Using MongoDB Services in Kubernetes: Any Platform, Devel...MongoDB
MongoDB Kubernetes operator and MongoDB Open Service Broker are ready for production operations. Learn about how MongoDB can be used with the most popular container orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications. A demo will show you how easy it is to enable MongoDB clusters as an External Service using the Open Service Broker API for MongoDB
MongoDB SoCal 2020: A Complete Methodology of Data Modeling for MongoDBMongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB SoCal 2020: From Pharmacist to Analyst: Leveraging MongoDB for Real-T...MongoDB
Humana, like many companies, is tackling the challenge of creating real-time insights from data that is diverse and rapidly changing. This is our journey of how we used MongoDB to combined traditional batch approaches with streaming technologies to provide continues alerting capabilities from real-time data streams.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series DataMongoDB
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Powering the new age data demands [Infosys]MongoDB
Our clients have unique use cases and data patterns that mandate the choice of a particular strategy. To implement these strategies, it is mandatory that we unlearn a lot of relational concepts while designing and rapidly developing efficient applications on NoSQL. In this session, we will talk about some of our client use cases, the strategies we have adopted, and the features of MongoDB that assisted in implementing these strategies.
MongoDB .local San Francisco 2020: Using Client Side Encryption in MongoDB 4.2MongoDB
Encryption is not a new concept to MongoDB. Encryption may occur in-transit (with TLS) and at-rest (with the encrypted storage engine). But MongoDB 4.2 introduces support for Client Side Encryption, ensuring the most sensitive data is encrypted before ever leaving the client application. Even full access to your MongoDB servers is not enough to decrypt this data. And better yet, Client Side Encryption can be enabled at the "flick of a switch".
This session covers using Client Side Encryption in your applications. This includes the necessary setup, how to encrypt data without sacrificing queryability, and what trade-offs to expect.
MongoDB .local San Francisco 2020: Using MongoDB Services in Kubernetes: any ...MongoDB
MongoDB Kubernetes operator is ready for prime-time. Learn about how MongoDB can be used with most popular orchestration platform, Kubernetes, and bring self-service, persistent storage to your containerized applications.
MongoDB .local San Francisco 2020: Go on a Data Safari with MongoDB Charts!MongoDB
These days, everyone is expected to be a data analyst. But with so much data available, how can you make sense of it and be sure you're making the best decisions? One great approach is to use data visualizations. In this session, we take a complex dataset and show how the breadth of capabilities in MongoDB Charts can help you turn bits and bytes into insights.
MongoDB .local San Francisco 2020: From SQL to NoSQL -- Changing Your MindsetMongoDB
When you need to model data, is your first instinct to start breaking it down into rows and columns? Mine used to be too. When you want to develop apps in a modern, agile way, NoSQL databases can be the best option. Come to this talk to learn how to take advantage of all that NoSQL databases have to offer and discover the benefits of changing your mindset from the legacy, tabular way of modeling data. We’ll compare and contrast the terms and concepts in SQL databases and MongoDB, explain the benefits of using MongoDB compared to SQL databases, and walk through data modeling basics so you feel confident as you begin using MongoDB.
MongoDB .local San Francisco 2020: MongoDB Atlas JumpstartMongoDB
Join this talk and test session with a MongoDB Developer Advocate where you'll go over the setup, configuration, and deployment of an Atlas environment. Create a service that you can take back in a production-ready state and prepare to unleash your inner genius.
MongoDB .local San Francisco 2020: Tips and Tricks++ for Querying and Indexin...MongoDB
Query performance should be the unsung hero of an application, but without proper configuration, can become a constant headache. When used properly, MongoDB provides extremely powerful querying capabilities. In this session, we'll discuss concepts like equality, sort, range, managing query predicates versus sequential predicates, and best practices to building multikey indexes.
MongoDB .local San Francisco 2020: Aggregation Pipeline Power++MongoDB
Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.
MongoDB .local San Francisco 2020: A Complete Methodology of Data Modeling fo...MongoDB
Are you new to schema design for MongoDB, or are you looking for a more complete or agile process than what you are following currently? In this talk, we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.
MongoDB .local San Francisco 2020: MongoDB Atlas Data Lake Technical Deep DiveMongoDB
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
MongoDB .local San Francisco 2020: Developing Alexa Skills with MongoDB & GolangMongoDB
Virtual assistants are becoming the new norm when it comes to daily life, with Amazon’s Alexa being the leader in the space. As a developer, not only do you need to make web and mobile compliant applications, but you need to be able to support virtual assistants like Alexa. However, the process isn’t quite the same between the platforms.
How do you handle requests? Where do you store your data and work with it to create meaningful responses with little delay? How much of your code needs to change between platforms?
In this session we’ll see how to design and develop applications known as Skills for Amazon Alexa powered devices using the Go programming language and MongoDB.
MongoDB .local Paris 2020: Realm : l'ingrédient secret pour de meilleures app...MongoDB
aux Core Data, appréciée par des centaines de milliers de développeurs. Apprenez ce qui rend Realm spécial et comment il peut être utilisé pour créer de meilleures applications plus rapidement.
MongoDB .local Paris 2020: Upply @MongoDB : Upply : Quand le Machine Learning...MongoDB
Il n’a jamais été aussi facile de commander en ligne et de se faire livrer en moins de 48h très souvent gratuitement. Cette simplicité d’usage cache un marché complexe de plus de 8000 milliards de $.
La data est bien connu du monde de la Supply Chain (itinéraires, informations sur les marchandises, douanes,…), mais la valeur de ces données opérationnelles reste peu exploitée. En alliant expertise métier et Data Science, Upply redéfinit les fondamentaux de la Supply Chain en proposant à chacun des acteurs de surmonter la volatilité et l’inefficacité du marché.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. Register to Reserve your Seat
Webinar 1: Vision & Use Cases
Webinar 2: Data Management Requirements for the IoT
Webinar 3: From Concept to Code
Joint Webinar Series
3. Today’s Speakers
Dirk Slama, Director of Business Development
Bosch Software Innovations
20+ years of experience in large-scale distributed application
projects including M2M and IoT projects
Joe Drumgoole, Director Partner Technical Services
MongoDB
20+years experience of commercial software delivery
4. • IoT Vision from Bosch: Recap of Part 1
• Data Management Requirements in IoT
• Next Steps
Agenda
5. 5
7,1tn IoT Solutions Revenue | IDC
Some Big Numbers:
1,9tn IoT Economic Value Add | Gartner
309bn IoT Supplier Revenue | Gartner
50bn Connected Devices | Cisco
14bn Connected Devices | Bosch SI
Some small numbers:
http://postscapes.com/internet-of-things-market-size
Peter Middleton, Gartner:
“By 2020, component
costs will have come
down to the point that
connectivity will become a
standard feature, even for
processors costing less
than
$1
“
IoT Predictions by 2020 - 22
6. TensHundredsThousandsMillionsBillionsConnections
Internet of Things
Machine-to-Machine
Monitored
Smart Systems
(Intelligence in Subnets of Things )
Telemetry
and
Telematics
Smart Homes
Connected Cars
Intelligent Buildings
Intelligent Transport
Systems
Smart Meters and Grids
Smart Retailing
Smart Enterprise
Management
Remotely controlled and
managed
Building
automation
Manufacturing
Security
Utilities
Internet of Things
Sensors
Devices
Systems
Things
Processes
People
Industries
Products
Services
Source: Machina Research 2014
Growth in connections generates an
unparalleled scale of data
7. Data
Big data
Changing data
models
Real-time
Processing
Aggregation
Internet of Things
Large estates of devices
Evolving applications
All forms of data
Data streaming and
processing
Pre-IoT (M2M)
Limited estate of
devices
Single purpose
applications
Structured / Semi-
structured
Data transfers
(sensors and
actuators)
Evolution from M2M to IoT and Big Data
Source: Machina Research 2014
10. IoT Foundation: Bosch Suite for IoT
A
D
C
B
Scale
Flexibility
Analytics
Unified View
11. Data has Changed
• 90% of the world’s data
was created in the last two
years
• 80% of enterprise data is
unstructured
• Unstructured data growing
2x faster than structured
13. IoT Data Management Requirements
Rich Applications Single View
Operational
Insight
Real-Time
Business Agility
Continuous Innovation
Enterprise-Ready
Secure & Reliable
Multiple Data Sources Process Convergence
14. Building Rich Applications
Farm to Fork:
Track production through supply chain
Quality Assurance:
Proactively reduce product wastage
Fleet Management:
Compare drivers & vehicles
15. • IoT apps generate multi-
structured data
• Modeled more efficiently as
JSON documents
• Exposed to powerful
analytics
• Developers more productive
– Less time wrestling ORMs
– More time creating apps
Modeling Complex Data
{
vehicle_id: ‘123abc’,
vehicle_driver: ‘Miller’,
base: ‘London’,
tracking: [
{ timestamp: ‘2014-01-17-
12:00:00’,
location: [51.123,-0.232],
speed: 55, … },
{ timestamp: ‘2014-01-17-
12:15:00’,
location: [51.224,-0.238],
speed: 5, … } }
}
16. Unlocking Business Agility
Customer Insight:
Optimize in-store product placement
Smart Factory:
Flexible assembly lines, autonomous
production modules
Fleet Management:
Extend to fuel efficiency, driver safety
17. Continuous Integration
ID PSI Temp Loc
New
Column
3 months later…
• Dynamic database schema
• No need to define upfront
• Enables agile methodologies
– Evolves as the application changes
– Eliminates teams co-ordinating
ALTER TABLE operations
18. Creating a Single View
Single View of the Customer:
Across channels
Single View of Production
Across multiple lines
Single View of the Fleet
Across real-time and service history
19. Business Process Convergence
New
Table
New
Table
New
Column
• Aggregate data from
multiple source systems
– Real time sensor data blended
with enterprise data
• Define single schema,
update whenever the source
systems change…or JOIN
hundreds of tables!
• Document model & dynamic
schema makes single view a
reality
22. Enterprise Ready Platform
Secure Customer Data
Privacy & compliance
Continuous Availability
Maximize production capacity
Scale Data Volumes
More sensors, more vehicles
25. Field Data Capturing
Project SCFD
Structured Capturing of
Field Data
Components: Car brakes,
power steering, etc.
Usage patterns:
temperature, voltage, etc.
Predictive maintenance,
product optimization
Why MongoDB:
Constantly evolving system,
from a data capturing and a
data analytics point of view
Large amount of streaming
data
Asset
Management
Stream
Processing
Big Data
Management
Analytics
BRM BRM
27. Services to Support IoT Apps
TRAINING
Training for developers and
administrators – online and in-person
CONSULTING
Expert resources for all phases of IoT
implementations
28. • Listen On-Demand
Part 1: IoT Vision & Use Cases, Bosch & Machina
Research
• Register for Part 3: From Concept to Code
Register Now
• Download the Bosch SI & MongoDB
Whitepaper
IoT & MongoDB
Learn More
At the heart of the change is data generated by a myriad of new sensors and devices, and the role in plays in modern apps
• 90% of the world’s data was created in the last two years
• 80% of enterprise data is unstructured
• Unstructured data growing 2x faster than structured
In the IoT economy, data is the raw currency. How you stores, manages, analyzes and uses data has a direct impact on the your success.
RDBMS was only real database option up until relatively recently – great for structured data, but no good for multi-structured, polymorphic data generated by todays IoT applications (polymorphic = similar but different, e.g. address fields, or user profiles).
Even historically, the RDBMS only held 15-20% of an organisation’s information assets. We now have the tools and technologies that can harness the other 80%
Based on both ours and Bosch’s own research and experience, we have identified the following 5 key capabilities for data management in IoT:
Creating rich, functional applications: Data management must support the development of functionally rich applications with complex data and algorithms, with fast time to market and at low cost.
Unlocking Business Agility: The ability to support many new and frequently changing business requirements, causing fast and continuous evolution of the underlying data model.
Enabling a Single Point of Truth & Business Convergence: Aggregate multiple views of related data from multiple systems into one consistent version of the data.
Real-Time Operational Insight: Support both transactional as well as analytical applications from the same data source
Enterprise-Grade Platform: Provide highly scalable, cloud-based, robust and secure applications. We have all seen the impact of security breaches on a organisations. Reputational risk is a key challenge for a modern global brand.
Explore each of these in turn
Work through requirements, tie back to 3 industry use cases we used in the first webinar – Retail, Manu and Telematics
Today’s applications now incorporate a wide variety of data, bringing structured, semi-structured and unstructured data together to yield deeper operational insight into all areas of the business:
• Retail: “farm-to-fork” initiatives and increasing regulatory requirements to prove food lineage require the addi-tion of sensors to generate audit trails tracking food production and transportation through the supply chain.
• Manufacturing: Capturing time-series, event based sensor data directly from the production line enables manu-facturers to detect when processes are exceeding predefined tolerances and quickly take corrective action to avoid product wastage.
• Telematics and Mobility: The engine data bus is already established as a standard in luxury cars and trucks, con-solidating individual events from sensors for engine diagnostics. The addition of new sensors enables richer appli-cations and an increasing amount of data is being pushed back to central servers, enabling a fleet management company to start building new asset management applications that compare drivers and vehicles across their fleet, identifying best -- and worst -- practices.
Semi-structured and unstructured data does not lend itself to be stored and processed in the rigid row and column format imposed by relational databases, and cannot be fully harnessed for analytics if stored in BLOBS or flat files.
With sub-documents and arrays, JSON documents also align with the data structure of objects at the application level. This makes it easy for developers to map the information model of the device or asset to its associated document in the database.
In contrast, trying to map the same object representation of the data to the tabular representation of an RDBMS slows down development. Adding Object Relational Mappers (ORMs) can create additional complexity by reducing the flexibility to evolve schemas and to optimize queries to meet new application requirements.
Instead of spending a lot of time dealing with the impedance mismatch between the programming language and the database, the developers must be enabled to focus on creating rich, functional applications.
IoT is in its infancy. Changes in customer requirements, emerging standards and new use-cases demand flexible and dynamic development methodologies and data storage architecture.
Retail: Technologies such as NFC and Apple’s iBeacon enable retailers to derive as much insight from customer movement around their physical stores as they are used to getting from tracking customer movement around their eCommerce stores. By capturing and visualizing data from these location-based sensors, retailers can build heat maps to optimize the placement of high-margin products.
Manufacturing: Smart Factory concepts are proposing more flexible assembly lines and support for smaller batch sizes by moving away from centrally controlled systems towards chains of intelligent and more autonomous production modules which interact with each other directly via the products, e.g. using RFID to create a “product memory”.
Telematics and Mobility: Rapid developments in automation and fleet management see each new generation of vehicle bristling with more sensors! Established telematics applications such as geo-location and engine diagnostics are being complemented by new services extending to areas such as fuel efficiency, driver safety, theft prevention and more.
Key here is the dynamic database schema
The rapid evolution of IoT applications can be constrained by traditional software development methodologies -- for example, the waterfall approach places enormous dependency on the requirements defined upfront. In the IoT age organizations need flexible, iterative development practices to make it easy for teams to respond to new business and market demands, without being held back by rigid data models.
We can’t predict what we will want to do with the data, how we will enrich it in the future and how it will be linked to other data.
MongoDB’s dynamic schema means that application development and ongoing evolution are straightforward, enabling continuous integration as developers add new features.
MongoDB enables developers to evolve the database schema through iterative and agile methodologies. Developers can start writing code and persist the objects without first pre-defining their structure. Each document (analogous to a row in a relational database) can have its own set of fields. Users can adapt the structure of a document’s schema just by adding new fields or deleting existing ones, making it very simple to handle to the rapidly changing data generated fast moving IoT applications.
Contrast this with a traditional relational database -- the developer and DBA working on a new project must first start by specifying the database schema, before any code is written. At minimum this will take days; it often takes weeks or months.
When in production need to schedule the necessary ALTER TABLE operations – can cause downtime, take weeks on large databases. As MongoDB allows schemas to evolve dynamically, such an upgrade requires modifying just the application, with typically no action required for MongoDB.
Building a single view of a business entity -- whether a physical asset or a customer -- can deliver a range of benefits, from improved cross-sell and upsell to enhanced operational insight and reduced costs:
Retail: Building on the NFC and Beacon example earlier, retailers can instantiate a single view of their customers in real time, converging actual location in the store with their profile, purchase history and loyalty card details in order to deliver timely and targeted promotions.
Manufacturing: Production line machines contain many discrete components, each with their own sensors. Bringing these together, along with the relevant service history can ensure optimum asset utilization and production line efficiency.
Telematics / Mobility: Fleet managers can blend views of a vehicle’s real time operational performance and diagnostics against asset registers that track service history to optimize preventative maintenance schedules.
Creating this “single point of truth” requires aggregating multiple views of related data distributed across different source systems into one consistent view. Using a relational database, the development and DBA team would first have to undertake lengthy design reviews in order to pre-define a common schema. Subsequent changes to the any of the source schemas would then necessitate associated changes to the single view schema.
MongoDB’s dynamic schema and flexible document model do not impose the same constraints, enabling source systems to continuously evolve without impacting the single view needed by the business.
IoT applications enable new levels of operational insight and business discovery, but their value can only be fully realized when analysis is delivered in real time -- providing the ability to react and respond as processes are in-flight.
Retail: Inventory is tracked as it moves from shelf to basket while the retailer concurrently performs analytics that attempt to match available supply to predicted demand, adjusting for any deviation automatically through warehouse operations and the supply chain.
Manufacturing: Sensor data from robotic systems is persisted to the database while analytics work in the background to identify optimizations to the production line
Telematics / Mobility: Engine diagnostics is enhanced by writing a continuous stream of sensor data to the database while simultaneously performing analytics comparing current status to historical baseline readings in order to proactively identify deviations and potential faults. For example, changes in oil or engine temperature may indicate the need to perform preventative maintenance.
Many traditional databases support operational applications by capturing structured data as it is generated. They then rely on slow moving batch ETL (Extract Transform Load) processes to replicate the data to the Enterprise Data Warehouse (EDW) where it is blended with semi-and-unstructured data for OLAP (OnLine Analytical Processing). To eliminate the analytics latency that inhibits real time business insight, it is necessary for the database to support both operational and analytical processes across the same data source handling structured, semi-structured and unstructured data.
You can do this on MongoDB – powerful query framework over multi-structured data. Could be run against secondaries so separate operational from analytical workloads
As IoT applications become embedded within the operational fabric of the business, they must deliver the scalability, availability and security demanded by any enterprise application. Business continuity and security are typically governed by strict mandates in every industry vertical. Specific examples include:
● Retail: The recent security breach of 70 million customer accounts at Target contributed to a 46% drop in net profits. The 2011 Playstation network breach at Sony Corporation is estimated to have cost the business over $4.5bn. As IoT applications are integrated into retail operations, they must provide security against attack if other businesses are not to suffer the same costs. Standards such as PCI-DSS and HIPAA (for those retailers selling pharmaceutical products) are also top of mind.
● Manufacturing: If a production line were to stop due to an unplanned failure -- even for a short period of time -- the costs can be significant, including lost production capacity, idle workers and scrapped product. As IoT is at the very heart of many production line systems, continuous availability should be a prime concern.
● Telematics / Mobility: more sensors in each vehicle. Smart vehicle technology filters down product lines into economy models
While databases such as MongoDB offer new capabilities for flexible data management and agile development methodologies, they cannot compromise on the enterprise-grade capabilities of traditional relational databases. Using MongoDB organizations can build fault tolerant and secure applications that scale-out on commodity hardware as data volumes generated by sensors continues to explode.
Scale out on commodity hardware using application transparent automatic sharding
Integrated replication enables us to create self healing clusters replicated within and across data centers
Most robust security mechanisms of any leading NoSQL database, with authentication via LDAP, Kerberos or PKI certificates, authorisation via RBAC, field level redaction to restrict access to specific fields, in built auditing and encryption
We can help you get started – Bosch and MongoDB collaboratively deliver consulting and training